Brunobkr/llama.cpp_AlgMor24_github
ΩFFFΣLLIa • llama.cpp • AlgMor24 ██████╗ ███████╗███████╗███████╗██╗ ██╗ ██╗ █████╗ ██╔═══██╗██╔════╝██╔════╝██╔════╝██║ ██║ ██║██╔══██╗ ██║ ██║█████╗ █████╗ █████╗ ██║ ██║ ██║███████║ ██║ ██║██╔══╝ ██╔══╝ ██╔══╝ ██║ ██║ ██║██╔══██║ ╚██████╔╝██║ ██║ ███████╗███████╗███████╗██║██║ ██║ ╚═════╝ ╚═╝ ╚═╝ ╚══════╝╚══════╝╚══════╝╚═╝╚═╝ ╚═╝ High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.
03.1k
1import {bisect} from "d3-array";2import {interpolate as interpolateValue, interpolateNumber, interpolateRound} from "d3-interpolate";3import constant from "./constant.js";4import number from "./number.js";5 6var unit = [0, 1];7 8export function identity(x) {9 return x;10}11 12function normalize(a, b) {13 return (b -= (a = +a))14 ? function(x) { return (x - a) / b; }15 : constant(isNaN(b) ? NaN : 0.5);16}17 18function clamper(a, b) {19 var t;20 if (a > b) t = a, a = b, b = t;21 return function(x) { return Math.max(a, Math.min(b, x)); };22}23 24// normalize(a, b)(x) takes a domain value x in [a,b] and returns the corresponding parameter t in [0,1].25// interpolate(a, b)(t) takes a parameter t in [0,1] and returns the corresponding range value x in [a,b].26function bimap(domain, range, interpolate) {27 var d0 = domain[0], d1 = domain[1], r0 = range[0], r1 = range[1];28 if (d1 < d0) d0 = normalize(d1, d0), r0 = interpolate(r1, r0);29 else d0 = normalize(d0, d1), r0 = interpolate(r0, r1);30 return function(x) { return r0(d0(x)); };31}32 33function polymap(domain, range, interpolate) {34 var j = Math.min(domain.length, range.length) - 1,35 d = new Array(j),36 r = new Array(j),37 i = -1;38 39 // Reverse descending domains.40 if (domain[j] < domain[0]) {41 domain = domain.slice().reverse();42 range = range.slice().reverse();43 }44 45 while (++i < j) {46 d[i] = normalize(domain[i], domain[i + 1]);47 r[i] = interpolate(range[i], range[i + 1]);48 }49 50 return function(x) {51 var i = bisect(domain, x, 1, j) - 1;52 return r[i](d[i](x));53 };54}55 56export function copy(source, target) {57 return target58 .domain(source.domain())59 .range(source.range())60 .interpolate(source.interpolate())61 .clamp(source.clamp())62 .unknown(source.unknown());63}64 65export function transformer() {66 var domain = unit,67 range = unit,68 interpolate = interpolateValue,69 transform,70 untransform,71 unknown,72 clamp = identity,73 piecewise,74 output,75 input;76 77 function rescale() {78 var n = Math.min(domain.length, range.length);79 if (clamp !== identity) clamp = clamper(domain[0], domain[n - 1]);80 piecewise = n > 2 ? polymap : bimap;81 output = input = null;82 return scale;83 }84 85 function scale(x) {86 return x == null || isNaN(x = +x) ? unknown : (output || (output = piecewise(domain.map(transform), range, interpolate)))(transform(clamp(x)));87 }88 89 scale.invert = function(y) {90 return clamp(untransform((input || (input = piecewise(range, domain.map(transform), interpolateNumber)))(y)));91 };92 93 scale.domain = function(_) {94 return arguments.length ? (domain = Array.from(_, number), rescale()) : domain.slice();95 };96 97 scale.range = function(_) {98 return arguments.length ? (range = Array.from(_), rescale()) : range.slice();99 };100 101 scale.rangeRound = function(_) {102 return range = Array.from(_), interpolate = interpolateRound, rescale();103 };104 105 scale.clamp = function(_) {106 return arguments.length ? (clamp = _ ? true : identity, rescale()) : clamp !== identity;107 };108 109 scale.interpolate = function(_) {110 return arguments.length ? (interpolate = _, rescale()) : interpolate;111 };112 113 scale.unknown = function(_) {114 return arguments.length ? (unknown = _, scale) : unknown;115 };116 117 return function(t, u) {118 transform = t, untransform = u;119 return rescale();120 };121}122 123export default function continuous() {124 return transformer()(identity, identity);125}126 